Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Featured ...

A significant way to reduce the complicated design is by using Automated Machine Learning (AML) that can intelligently optimize the best pipeline suitable for a problem or dataset. This paper ...

Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been ...

PepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

Perhaps that should have been more obvious from the start, since people have been building various machine learning algorithms on extremely limited computing platforms like this one built on the ...

Miller's Law states, "To understand what another person is saying, you must first assume what the person said is true and ...

Grammarly incorporates both machine learning and rule-based algorithms into its products. No computational linguists, however, labored over imparting our rules of language to OpenAI’s GPT-2.